Sek. 18 Shah Alam

Section 18, Shah Alam, Selangor, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM 205,000
PSF
RM 285
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Flat
RM 250,000
Level 3
678 sqft · RM 369 PSF
RM 193,000
Level 2
678 sqft · RM 285 PSF
RM 178,000
Level 3
678 sqft · RM 262 PSF
RM 220,000
Level 1
721 sqft · RM 305 PSF
750 sqft
Flat
RM 235,000
Level 1
743 sqft · RM 316 PSF
RM 205,000
Level 4
743 sqft · RM 276 PSF
RM 200,000
Level 2
743 sqft · RM 269 PSF
RM 178,000
Level 3
743 sqft · RM 240 PSF
RM 225,000
Level 2
743 sqft · RM 303 PSF
9
transactions

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Market Snapshot

Residential

RM 205,000

RM 285 psf

Median transaction price

Sek. 18 Shah Alam
© OpenStreetMap · CARTO

Section 18, Shah Alam, Selangor, Malaysia

Maps

Sek. 18 Shah Alam in Petaling, Selangor recorded 9 Flat properties subsale transactions between 2021 and 2026, with a median price of RM 205K and a median price per square foot (PSF) of RM 285.

This area contains both residential and commercial properties. View 75 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 205K, with most transactions falling within a stable range of RM 181K to RM 229K, and a typical market range of RM 178K to RM 250K.

Within the Flat category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 285, with core pricing between RM 249 and RM 320. Market pricing typically extends from RM 210.86 to RM 358.36, reflecting moderate variation in unit pricing. With an IQR of RM 147.50 and MAD of RM 35, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.